Abstracts 1315 to 1481, LB6–LB15
Bibliographic record
Abstract
Background/Aim This Phase 2b, active controlled study evaluated the efficacy and safety of albinterferon alfa-2b (alb-IFN)in IFN-nave, CHC patients. The effects of alb-IFN on subject quality of life (QoL) and disability days were compared with those of PEG-IFNa-2a (PEG-IFN). Methods 458 patients were randomized and treated in 4 groups: PEG-IFN 180mcg Q1w or one of 3 alb-IFN arms (900mcg Q2w, 1200mcg Q2w or 1200mcg Q4w). The primary efficacy end-point was SVR. SF-36v.2 and the Hospital Anxiety and Depression Scale (HADS) were used to assess subject QoL and anxiety/depression. Subject disability days were evaluated by a number of missed work days or days with impaired activity. Missing data for patient reported outcomes were handled using LOCF (last observation carried forward). Results Based on ITT analysis, SVR rates were comparable (p=NS) across treatment groups. SVR in the 900Q2 was 58.5% and for PEG-IFN was 57.9%. Overall, QoL was similar or favorable for all albIFN arms compared to PEG-IFN at all timepoints assessed. At w12 and w24 on treatment, the 900Q2w cohort performed better in all 10 SF-36 domains relative to PEG-IFN. Statistically significant and clinically meaningful differences were observed in mental health (figure), bodily pain, vitality, and social functioning domains. Changes in mental health correlated strongly (r=0.7) with changes in HADS and by w12 post-treatment had recovered to baseline in 67% of 900Q2w subjects and 57% of PEG-IFN subjects. Subjects receiving alb-IFN 900Q2 experienced significantly fewer days of missed work: at w12 and 24, ~5% of 900Q2w subjects missed at least 7 days of work the previous month compared to ~20% for PEG-IFN. Conclusions The alb-IFN 900mcg Q2w dose was associated with the most favorable QoL and fewest missed work days while maintaining efficacy at least comparable to PEG-IFN.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".